Google Cloud Debuts New AI Chips | Bloomberg Tech 4/22/2026

| News | April 22, 2026 | 9.15 Thousand views | 44:07

TL;DR

Google Cloud unveiled next-generation AI chips and expanded enterprise partnerships to challenge AWS and Microsoft, while Rivian began production of its critical R2 SUV despite tornado damage to its factory, and Anthropic faced scrutiny after unauthorized users breached its restricted 'Mythos' AI model.

☁️ Google Cloud's Vertical Integration 3 insights

New TPU generation unveiled

Alphabet launched specialized training and inference chips designed to reduce reliance on Nvidia and lower compute costs for AI workloads.

Major enterprise partnerships expanded

Deals with Oracle, Salesforce, CrowdStrike, Vista Equity, and Nvidia aim to integrate Google's vertically stacked cloud services across software platforms.

Market share acceleration

Google Cloud grew nearly 50% last quarter processing 1,500 trillion tokens monthly, positioning it as the lowest-cost provider and gaining share against AWS and Azure.

🚗 Rivian Manufacturing Milestone 3 insights

R2 production begins despite tornado

Rivian started manufacturing its $45,000-$57,000 R2 SUV, considered crucial for profitability, just 72 hours after a tornado ripped the roof off its Illinois factory.

Autonomous capabilities roadmap

The company plans Level 2 hands-free driving later this year and Level 3 highway autonomy in 2025, supported by new in-house 800V silicon chips launching end of year.

Mass-market pricing strategy

While initial deliveries focus on higher-spec models, a base $45,000 variant will arrive within the year to target the U.S. average new car price point.

🔒 AI Security Vulnerabilities 2 insights

Unauthorized Mythos model access

A small group of researchers gained access to Anthropic's restricted 'Mythos' AI model—deemed too dangerous for public release—using third-party contractor credentials and URL guessing techniques.

Basic security protocols failed

The breach exposed cybersecurity gaps at the AI safety-focused company, raising concerns about nation-state actors potentially exploiting similar contractor access routes.

Bottom Line

Tech giants are aggressively vertically integrating AI infrastructure from chips to cloud to control costs and secure capacity, making proprietary hardware design and robust cybersecurity protocols critical competitive necessities.

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